Short-Term Power Load Forecasting Based on LS-SVM
- Resource Type
- Conference
- Authors
- Bin, Liu; Guang, Xu
- Source
- 2010 International Conference of Information Science and Management Engineering Information Science and Management Engineering (ISME), 2010 International Conference of. 1:311-314 Aug, 2010
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Components, Circuits, Devices and Systems
Support vector machines
Load forecasting
Classification algorithms
Power quality
Load modeling
Predictive models
Power System
Short-term Load Forecasting
LS-SVM
- Language
In order to solve the Short-term Load Forecasting problems in Power Systems, this article puts forward the Least Squares Support Vector Machine’s improved model by selecting the appropriate Gauss kernel function and proposing the error calculation analytical method, thus reduces the computational complicate problems when large amount of data is input in Short-term Power Load Forecasting. An example is given to prove the validity of the algorithm.